درخت حوزه‌های تخصصی

This study aims to identify the cognitive and emotional components of self-advocacy in exceptional learners and examine the external factors that influence their ability to advocate for themselves in educational settings. A qualitative research design was employed, utilizing semi-structured interviews with 29 exceptional learners recruited through online platforms. Theoretical saturation was reached, ensuring comprehensive data collection. NVivo software was used to conduct thematic analysis, identifying key cognitive and emotional factors related to self-advocacy. Participants shared their experiences regarding metacognitive awareness, decision-making, emotional regulation, and external support systems, providing rich qualitative data for analysis. The results indicated that self-advocacy among exceptional learners is shaped by cognitive competencies, including metacognition, decision-making, and information-seeking behaviors, as well as emotional factors such as self-efficacy, resilience, and emotional regulation. Participants who demonstrated strong metacognitive strategies and confidence were more effective self-advocates, whereas those facing anxiety or low self-efficacy struggled to assert their needs. External factors, such as educator support, family involvement, and institutional policies, played a critical role in shaping advocacy experiences. Online networks and digital advocacy resources were identified as valuable tools for enhancing self-advocacy skills. However, institutional barriers, including bureaucratic challenges and lack of awareness among educators, posed significant obstacles for learners. The study highlights the complexity of self-advocacy in exceptional learners, emphasizing the interplay between cognitive awareness, emotional resilience, and external support structures. Enhancing self-advocacy skills requires targeted interventions, including advocacy training, institutional support, and digital resource accessibility.

This study was carried out to develop a framework for enhancing the cognitive abilities of elementary school principals. The grounded theory (GT) theory strategy was utilized. The participants consisted of university professors during the academic year 2023-2024. These individuals were selected through purposive sampling and were interviewed, ensuring that the process reached saturation with a total of 25 participants. There are five main components to improving the cognitive skills of elementary school principals, and there is a total of 22 key concepts. Cognitive Empowerment involves Mindfulness; Self-awareness; Self-improvement; Psychological improvement; Strengthening the social brain and self-development. Strengthening the cognitive competencies of school principals focuses on the Promotion of cognitive knowledge; improving cognitive competencies and improving cognitive skills. Implementing a Competency-oriented evaluation system involves establishing performance evaluation centers; Modifying and providing standard cognitive criteria; Objectifying and operationalizing the cognitive indicators of school principals. Providing Financial and non-financial Support for Principals includes Promotion of the rank of expert school principals; Merit-based payment system; Encouraging competent principals; Appropriate foundation for increasing cognitive competencies; Supportive environment &atmosphere and facilitating rules and regulations. Merit-based selection in recruiting and hiring involves the Appointment of competent ministers; Succession planning and recruiting and hiring expert and efficient principals.

Given the transformative potential of technology-enhanced methods in language education, this study investigated the effect of AI-scaffolded learning-oriented assessment (LOA) on Iranian EFL learners' vocabulary acquisition. A quasi-experimental design was employed, with 40 male intermediate-level learners non-randomly assigned to an experimental group (AI-supported Nearpod platform with adaptive scaffolding) and a control group. The Oxford Placement Test ensured homogeneity, while the Vocabulary Knowledge Scale measured vocabulary gains. The experimental group received AI-driven scaffolding, including real-time adaptive feedback, tiered support, and interactive peer-review tasks aligned with LOA principles. Statistical analysis revealed a significant difference in post-VKS scores (M = 130.05) for the experimental group compared to the control group (M = 99.85), with a large effect size (t = 39.38, p < .001, d = 1.96). These results demonstrate that AI-scaffolding, when integrated with LOA, substantially enhances vocabulary learning by personalizing feedback and promoting active engagement. The study highlights the efficacy of AI tools like Nearpod in EFL contexts while underscoring the importance of pedagogical design, such as balancing automation with teacher guidance, to maximize learning outcomes. These findings advocate for the strategic adoption of AI-scaffolded LOA in language curricula, though challenges like digital literacy and equitable access warrant further exploration.

This study examined the structure of professional interaction networks among primary school teachers and their relationship to professional learning. Using social network analysis, we investigated 69 second-cycle primary school teachers in District 3 of Mashhad through a census approach. Data were collected using two instruments: the Teacher Interaction Network Analysis Questionnaire and the Teacher Professional Learning Questionnaire (Liu et al., 2016), and analyzed using ERGM and PLS approaches. Key findings revealed that teachers' network size significantly influences their positional capital within the network, which in turn directly affects their professional learning. While intra-school professional consultations showed a significant positive relationship with professional learning, inter-school consultations at the district level demonstrated no significant effect. ERGM analysis identified several critical factors shaping network ties: school homophily emerged as the strongest predictor, followed by out-degree based on educational qualifications, in-degree based on school role (teaching vs. administrative), and out-degree based on teaching experience. Notably, teachers with higher qualifications (Master's and PhD) and less experience were more active in seeking peer consultations, with administrative staff (principals and deputies) receiving the majority of these professional inquiries. These findings highlighted the localized nature of professional learning networks and suggest opportunities for strengthening inter-school collaboration to enhance teacher development.